Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming
Name
turbofanSP.pdf
Description
Accepted version
Size
1.61 MB
Format
Adobe PDF
Checksum (MD5)
83793b8156f975a43069c5e352ddae29
Author(s)
York, Martin A.
Hoburg, Warren W
Drela, Mark
Date Issued
November 2017
Journal
Journal of Aircraft
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Citation
York, Martin A., Hoburg, Warren W. and Drela, Mark. "Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming." Journal of Aircraft 55, 3 (May 2018): 988-1003 © 2017 The Author(s)
Version
Author's final manuscript
Abstract
This paper presents a full one-dimensional core and fan flowpath turbofan optimization model, based on first principles, and meant to be used during aircraft conceptual design optimization. The model is formulated as a signomial program, which is a type of optimization problem that can be solved locally using sequential convex optimization. Signomial programs can be solved reliably and efficiently and are straightforward to integrate with other optimization models in an all-at-once manner. To demonstrate this, the turbofan model is integrated with a simple commercial aircraft sizing model. The turbofan model is validated against the Transport Aircraft System Optimization turbofan model as well as two Georgia Institute of Technology Numerical Propulsion System Simulation turbofan models. Four integrated engine/aircraft parametric studies are performed, including a multimission optimization with over 2400 variables that solves in under 4 s.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.2514/1.c034463
